Abstract

Streptococcus pneumoniae is a major cause of pneumonia and a leading cause of death world-wide. Antibody-mediated immune responses can confer protection against repeated exposure to S. pneumoniae, yet vaccines offer only partial protection. Patients with Activated PI3Kδ Syndrome (APDS) are highly susceptible to S. pneumoniae. We generated a conditional knock-in mouse model of this disease and identify a CD19+B220 B cell subset that is induced by PI3Kδ signaling, resides in the lungs, and is correlated with increased susceptibility to S. pneumoniae during early phases of infection via an antibody-independent mechanism. We show that an inhaled PI3Kδ inhibitor improves survival rates following S. pneumoniae infection in wild-type mice and in mice with activated PI3Kδ. These results suggest that a subset of B cells in the lung can promote the severity of S. pneumoniae infection, representing a potential therapeutic target.

Introduction

Streptococcus pneumoniae is an invasive extracellular bacterial pathogen and is a leading cause of morbidity and mortality. Although S. pneumoniae can cause disease in immunocompetent adults, it commonly colonizes the upper airways without causing disease. The World Health Organization has estimated that there are 14.5 million episodes of severe pneumococcal disease and that 1.6 million people die of pneumococcal disease every year1. Despite the implementation of global vaccination programs, S. pneumoniae infection remains a major disease burden1,2,3.

Invasive S. pneumoniae infection is a major cause of lower airway infections (pneumonia), sepsis and meningitis. Healthy people at the extremes of age are more susceptible to pneumococcal disease, as are people with chronic obstructive pulmonary disease (COPD), however those at greatest risk are patients with splenic dysfunction or immune deficiency. This increased susceptibility results at least in part from the lack of protective antibodies against conserved protein antigens or against polysaccharides that form part of the pneumococcal capsule4. Indeed, the protective role of antibodies in pneumococcal disease is most obvious in individuals with congenital (primary) immunodeficiencies (PIDs). This was first recognized in a patient with X-linked agammaglobulinemia (XLA), a syndrome subsequently shown to be caused by a block in B cell development due to loss-of-function mutations in BTK5,6,7. These patients remain highly susceptible to S. pneumoniae into adulthood, but can be effectively treated by the administration of immunoglobulins from healthy donors.

We and others have recently described cohorts of immune deficient patients with activating mutations in PIK3CD, the gene encoding the p110δ catalytic subunit of phosphoinositide 3-kinase δ (PI3Kδ)8,9,10. PI3Kδ is a lipid kinase that catalyzes the phosphorylation of the phosphatidylinositol-(4,5)-bisphosphate lipid to produce phosphatidylinositol-(3,4,5)-trisphosphate (PIP3). PI3Kδ is expressed in cells of the immune system and regulates many aspects of immune cell signaling, particularly in lymphocytes11,12. Activated phosphoinositide 3-kinase δ syndrome (APDS) is a combined immunodeficiency affecting T and B cells. APDS patients suffer from recurrent sinopulmonary infections, with S. pneumoniae being the most commonly isolated pathogen13. Eighty-five percent of APDS patients have been diagnosed with pneumonia14. APDS patients are also more likely to develop structural lung damage (bronchiectasis) than patients with other PIDs13. The mechanism underpinning the increased susceptibility to pneumococcal infection in APDS is unclear11. Although APDS patients often lack IgG2, the protection afforded by immunoglobulin replacement therapy is not as robust as that observed in patients with pure antibody deficiencies, suggesting that antibody-independent PI3Kδ-driven mechanisms may be involved13. The monogenic nature of APDS allows us to dissect mechanisms of susceptibility to S. pneumoniae infection on cellular and molecular levels, and to determine whether PI3Kδ inhibitors may help reduce the susceptibility to S. pneumoniae. If so, PI3Kδ inhibitors, that are in development for the treatment of inflammatory and autoimmune diseases, might also have wider applications to reduce the pathological consequences of S. pneumoniae infection15. In this study, we have explored mechanisms by which PI3Kδ hyperactivation drives susceptibility to S. pneumoniae infection. We found that the administration of the PI3Kδ-selective inhibitor nemiralisib (GSK-22696557)16,17 reduced the severity of pneumococcal disease in wild-type mice. To investigate this further, we generated a p110δE1020K mouse model that accurately recapitulates the genetics and immunological phenotype of APDS, and displays increased susceptibility to S. pneumoniae infection. We show that this susceptibility segregates with enhanced PI3Kδ signaling in B cells, which exacerbate S. pneumoniae infection at early time points before the adaptive immune response comes into play. Of note, we have identified a previously unappreciated population of CD19+B220 IL-10-secreting cells that was present in wild-type mice but expanded 10–20-fold in p110δE1020K mice. We demonstrate that nemiralisib reduces the frequency of IL-10-producing B cells in the lung and improves survival of p110δE1020K mice. Similarly, a higher proportion of transitional B cells from APDS patients produced IL-10 and this was reduced by nemiralisib. This study provides new insights into the pathogenesis of the early stages of invasive S. pneumoniae disease and offers the potential of future therapeutic strategy to alleviate the severity of this disease in susceptible patients.

Results

Nemiralisib improves S. pneumoniae infection outcome in mice

Given that APDS patients are more susceptible to S. pneumoniae, we sought to determine whether nemiralisib, an inhaled PI3Kδ inhibitor which is in development for the treatment and prevention of COPD excacerbations16,17, would alter susceptibility to airway infections. We treated mice with nemiralisib and then infected them intranasally with S. pneumoniae (TIGR4, serotype 4). Nemiralisib-treated mice showed prolonged survival compared to mice given vehicle control (Fig. 1). This protection was only effective if the drug was administered before and during infection (Fig. 1). By contrast, nemiralisib administration 8 or 24 h post-infection had no impact on survival of the mice. These data suggest that PI3Kδ modulates the immune response during early S. pneumoniae infection, either by inhibiting protective immunity, or by promoting an adverse response.

Fig. 1
Fig. 1

Prophylactic, but not therapeutic treatment with the inhaled PI3Kδ inhibitor nemiralisib mitigates disease severity following S. pneumoniae infection in wild-type mice. Wild-type mice were treated twice daily with the inhaled PI3Kδ inhibitor nemiralisib for the duration of the study: when treatment was started 24 h prior to infection with S. pneumoniae serotype 4, TIGR 4, survival rates were improved. When started 8 or 24 h post-infection, the treatment had no effect on survival outcome. (−24 h: data from five independent experiments combined n = 60; +8 h/+24 h: data from three independent experiments combined n = 36; data-points represent individual animals)

Hyperactive PI3Kδ signaling alters lymphocyte development

We generated a conditional knock-in mouse harboring mutation E1020K in the Pik3cd gene that is equivalent to the most common APDS-causing mutation E1021K in humans (Supplementary Fig. 1). These mice were subsequently crossed with different Cre-expressing lines to either generate germline mice where p110δE1020K is expressed in all cells (p110δE1020K-GL) or selectively in B cells using Mb1Cre (p110δE1020K-B), in T cells using Cd4Cre (p110δE1020K-T) or myeloid cells using Lyz2Cre (p110δE1020K-M). We studied p110δE1020K mice in comparison with wild-type and p110δD910A mice that have catalytically inactive p110δ18.

Initially, we tested if p110δE1020K mice have increased PI3Kδ activity and display the characteristic immunological phenotype of APDS. Biochemical analyzes of B cells and T cells from p110δE1020K-GL mice confirmed that the kinase is hyperactive (Fig. 2). Measurements of PIP3 in T cells showed that p110δE1020K is about six times as active as the wild-type kinase following stimulation with anti-CD3 and anti-CD28, but with no evidence for increased basal activity (Fig. 2a). In B cells, p110δE1020K led to increased basal PIP3 levels, but it was further increased only about two-fold compared to wild-type mice after stimulation with anti-IgM (Fig. 2b). This pattern resembles results found in patients with APDS9. In wild-type and p110δE1020K-GL cells, the PI3Kδ-selective inhibitor nemiralisib reduced PIP3 to the background level observed in p110δD910A cells, which, as expected, were insensitive to nemiralisib (Fig. 2a, b).

Fig. 2
Fig. 2

PI3Kδ hyper-activation leads to increased PIP3 and pAKT levels that can be reduced using a selective PI3Kδ inhibitor. a PIP3 levels in purified T cells from wild-type, p110δE1020K and p110δD910A mice, unstimulated or stimulated with anti-CD3 and anti-CD28 in the presence or absence of the selective PI3Kδ inhibitor, nemiralisib (mean ± SD; n = 2–3). b PIP3 levels in purified B cells from wild-type, p110δE1020K and p110δD910A mice unstimulated, or stimulated with anti-IgM in the presence or absence of nemiralisib (mean ± SD n = 2–6). c Western blots of purified T cells from wild-type, p110δE1020K and p110δD910A mice, unstimulated or stimulated with anti-CD3 and anti-CD28 in the presence or absence of nemiralisib. d Western blots of purified B cells from wild-type, p110δE1020K and p110δD910A mice, unstimulated or stimulated with anti-IgM in the presence or absence of nemiralisib. (Representative of two independent experiments; data-points represent individual animals)

PIP3 binds to the protein kinase AKT, supporting its phosphorylation on Thr308 and subsequent activation. Western blotting of purified p110δE1020K-GL T cells showed increased AKT phosphorylation following stimulation with anti-CD3 and anti-CD28 antibodies compared to wild-type cells, whereas AKT phosphorylation in p110δD910A T cells was below the limit of detection (Fig. 2c). In B cells, both basal and anti-IgM-induced phosphorylation of AKT were elevated in p110δE1020K-GL cells, while strongly diminished in p110δD910A B cells (Fig. 2d). The phosphorylation of ERK and the AKT effector proteins, FOXO and S6, were similarly affected. All phosphorylation events in wild-type and p110δE1020K-GL cells were reduced to the levels observed in p110δD910A cells by inhibition with nemiralisib. As expected, p110δ protein expression was not affected by the E1020K or D910A mutations (Fig. 2c, d).

Germline p110δE1020K-GL mice had near normal numbers of myeloid cells in the bone marrow and spleen. In the bone marrow we observed a significant B cell lymphopenia that was associated with a block in B cell development between Pro-B and Pre-B cells and did not extend to the spleen. Although these mice had normal numbers of splenic B cells, there was an increased proportion of marginal zone B and B1 cells with an altered distribution of transitional B cells (Fig. 3). The thymus of p110δE1020K-GL mice was normal except for a mild reduction in single positive CD8+ T cells. In the spleens and lymph nodes there were increased proportions of activated/memory T cells identified by high CD44 expression and low CD62L expression, and increased numbers of Foxp3+ T regulatory cells (Supplementary Fig. 2). These T cell and B cell phenotypes were recapitulated in p110δE1020K-T and p110δE1020K-B mice, respectively (Supplementary Figs 3 and 4). The reciprocal effects of the inhibitory D910A and activating E1020K mutations on specific cell subsets demonstrate the pivotal role of PIP3 during lymphocyte development and highlight the importance of a tight control of PI3Kδ activity.

Fig. 3
Fig. 3

Phenotype of B cells in p110δE1020K-GL mice. a B cell subsets in the spleen and bone marrow from wild-type, p110δE1020K-GL and p110δD910A mice were analyzed by flow cytometry and representative pseudocolor plots with the mean cell proportion are shown. b In the spleen, the number of B1, marginal zone (MZ) and T1 transitional cells B cells were increased in p110δE1020K-GL mice while follicular B cell numbers were normal. These populations were reduced in p110δD910A mice. Analysis of the bone marrow showed normal pro-B cell numbers in p110δE1020K-GL mice with a reduced number of pre-B cells, immature, transitional and mature B cells. Populations of cells are described as follows: Splenic B cells: Total B cells CD19+B220+, B1 cells CD19+B220+CD23-CD21-, Follicular B cells CD19+B220+CD23+CD21+, Marginal zone B cells CD19+B220+CD23-CD21+, Transitional T1 B cells B220+CD93+IgM+CD23-, Transitional T2 B cells B220+CD93+IgM+CD23+, Transitional T3 B cells B220+CD93+IgMCD23; Bone marrow B cells - Immature B cells CD19+B220loIgM+, Mature B cells CD19+B220hiIgM+, Pro-B cells B220+IgMCD19+CD25, Pre-B cells B220+IgMCD19+CD25+, Transitional B cells B220+IgD+. (Mean cell numbers are shown; combined data from two independent experiments, wild-type n = 10; p110δE1020K-GLn = 12; p110δD910An = 7. Data-points represent individual animals)

Analysis of serum immunoglobulins showed that p110δE1020K-GL mice had elevated levels of IgG1 and IgG2b and a trend towards increased levels of IgG2c, IgA, and IgE isotypes compared to wild-type mice. There was also a trend to hyper IgM in p110δE1020K-GL mice as is frequently observed in APDS patients9,10,13, whereas p110δD910A mice were antibody deficient (Supplementary Fig. 5). The level of serum IgG3, which has been shown to be protective against S. pneumoniae18, was comparable in p110δE1020K-GL and wild-type mice (Supplementary Fig. 5).

PI3Kδ hyperactivation drive susceptibility to S. pneumoniae

Given that the immunological phenotype of p110δE1020K-GL mice strongly resembled that of APDS patients, we sought to determine whether these mice recapitulate the increased susceptibility to S. pneumoniae observed in APDS patients. We infected p110δE1020K-GL, p110δD910A, and p110δWT mice with S. pneumoniae (TIGR4 serotype 4) and followed their survival for 10 days (Fig. 4a). Interestingly, p110δD910A mice did not show increased susceptibility to S. pneumoniae. By contrast, p110δE1020K-GL mice showed accelerated disease onset and increased mortality (Fig. 4a). Natural antibodies against phosphorylcholine (PC) can offer protection against infection with encapsulated bacteria, including S. pneumoniae19,20. We found that p110δD910A mice lacked anti-PC antibodies, presumably because of the absence of B1 and MZ B cells which are the major source of natural antibodies18,21,22,23. By contrast, anti-PC antibodies in the serum from p110δE1020K mice were similar (IgM) or elevated (IgG) (Fig. 4b, c) compared to wild-type mice. Therefore, susceptibility to S. pneumoniae in p110δE1020K mice cannot be explained by a failure to produce natural antibodies against conserved bacterial epitopes.

Fig. 4
Fig. 4

PI3Kδ hyper-activation leads to increased susceptibility to S. pneumoniae infection. a Germline p110δE1020K-GL mice show accelerated disease development and significantly increased mortality compared to control mice in response S. pneumoniae infection, while kinase dead p110δD910A mice do not respond differently to wild-type mice. bc Naïve PI3KδE1020K mice produce normal levels of anti-phosphorylcholine IgM and significantly higher levels of anti-PC IgG, while PI3KδD910A mice produce no natural antibody. df The p110δE1020K mutation was introduced conditionally into myeloid cells, T cells and B cells by crossing onto Lyz2cre, Cd4cre and Mb1cre lines respectively. The myeloid conditional mutation did not affect survival following S. pneumoniae infection in p110δE1020K-M mice (d), while T cell conditional p110δ hyper-activation led to improved survival in p110δE1020K-T mice (e). Introducing the p110δE1020K mutation specifically in B cells (p110δE1020K-B mice) replicated the increased susceptibility to S. pneumoniae seen in p110δE1020K-GL mice (f). g Transfer of p110δE1020K-B bone marrow into irradiated RAG2−/− recipients also conferred increased susceptibility to S. pneumoniae infection compared to recipients receiving wild-type bone marrow, and this phenotype was not fully rescued in a 50% BM chimera. (Data-points represent individual animals; data from 2 independent experiments combined. a n = 24; b, c mean antibody levels shown, WT n = 11, E1020K n = 8, D901A n = 9; d n = 22; e n = 20; f n = 20; g n = 20)

In order to determine the cell type responsible for increased susceptibility to S. pneumoniae, we next infected the lineage-restricted p110δE1020K-B, p110δE1020K-T and p110δE1020K-M mice. Myeloid expression of p110δE1020K had no effect on the course of S. pneumoniae infection (Fig. 4d), whereas expression of p110δE1020K in T cells was protective (Fig. 4e). Only the p110δE1020K-B mice replicated the increased susceptibility of the p110δE1020K-GL mice to S. pneumoniae (Fig. 4f). Furthermore, transfer of p110δE1020K-B bone marrow into irradiated RAG2−/− recipients also conferred increased susceptibility to infection, which was only partially rescued by co-transferring wild-type and p110δE1020K-B bone marrow at a 1:1 ratio (Fig. 4g). These results indicate that B cells drive the increased susceptibility to S. pneumoniae infection in p110δE1020K-GL mice in an immune-dominant manner.

B cell mediated susceptibility is antibody-independent

In order to further investigate antibody-mediated protection in the context of PI3Kδ hyper-activation, we immunized mice with Pneumovax, a 23-valent polysaccharide vaccine24. Following infection with S. pneumoniae, wild-type mice were completely protected by this vaccination protocol, while p110δE1020K-GL mice were only partially protected, to a level similar to that in non-immunized wild-type mice. By contrast, p110δD910A mice did not benefit from vaccination (Fig. 5a, b). Interestingly, p110δE1020K-GL mice and wild-type mice produced a similar antibody response, in contrast to p110δD910A mice that showed no response (Fig. 5c). These data indicate that Pneumovax vaccination clearly protects against S. pneumoniae, as shown in immunized wild-type mice. Despite this protection p110δE1020K mice remained significantly more susceptible to S. pneumoniae infection. Together, these data suggest that B cells can affect susceptibility to S. pneumoniae by a mechanism that is at least in part antibody-independent.

Fig. 5
Fig. 5

PI3KδE1020K-GL mice respond to Pneumovax and have normal antibody levels. a, b Pneumovax (T-independent pneumococcal polysaccharide vaccine, PPV) partially protects p110δE1020K-GL mice against infection (a), while p110δD910A are not protected (b). c p110δE1020K-GL mice produce normal levels of total IgG in response to Pneumovax immunization (anti-pneumococcal serotype 4 shown) while p110δD910A mice do not respond to vaccine. (Data-points represent individual animals; a results from three independent studies combined, n = 30; b results from two independent studies combined, n = 19; c results from two independent studies combined: mean antibody levels shown; WT n = 22; E1020K n = 8; D910A n = 6)

To determine more definitively whether B cells can be pathogenic in the context of S. pneumoniae infection, we infected wild-type and Ighmtm1 (µMT) mice which lack mature B cells25. Strikingly, Ighmtm1 mice showed reduced susceptibility to S. pneumoniae infection, delaying disease onset from ~2 days in wild-type mice to ~5 days in Ighmtm1 mice (Fig. 6). Although survival in Ighmtm1 mice was increased up to 30 days post infection compared to wild-type mice, CFU counts from the lungs of mice surviving to this time-point indicates that, despite appearing clinically healthy, 41% (7/17) of Ighmtm1 mice failed to clear the infection compared to 100% clearance in wild-type mice (Fig. 6). Taken together, these results suggest that during early time-points in the local infected environment B cells can be pathogenic, while at later stages they are required to prevent chronic infection.

Fig. 6
Fig. 6

B cells could drive increased pathology in response to S. pneumoniae infection, independent of bacterial clearance. Ighmtm1 (µMT) mice show delayed disease progression and improved overall survival up to 30 days post S. pneumoniae infection, however 41% (7/17) surviving Ighmtm1 mice failed to clear bacteria from the lung tissue at 30 days post-infection compared to 100% clearance in surviving wild-type mice. (Data from 1 study, n = 24, mean CFU count shown, data-points represent individual animals)

Increased susceptibility to S. pneumoniae could either be due to uncontrolled bacterial proliferation or be caused by an aberrant immune response to the pathogen. The bacterial titers from lungs and spleens of wild-type, p110δD910A and p110δE1020K-GL mice were similar at 24 h post-infection, suggesting that the different susceptibilities did not correlate with different abilities to control bacterial outgrowth during the early phase of infection (Fig. 7a). We observed a trend towards increased levels of TNFα, IL-6, IL-1β, and IL-1α in the lung tissue of p110δE1020K-GL mice at 24 h post-infection (Fig. 7b). Consistent with this, the levels of TNFα, IL-6, and IL-1β were reduced in the lungs of wild-type mice treated with nemiralisib prior to S. pneumoniae infection (Fig. 7c), indicating that, while PI3Kδ signaling affect the amount of pro-inflammatory cytokines produced in response to infection, the increase in response to PI3Kδ hyper-activation is modest.

Fig. 7
Fig. 7

PI3Kδ signaling regulates B cell specific IL-10 production in the lung following S. pneumoniae infection. a 24 h post S. pneumoniae infection, lung and spleen CFU counts were similar in wild-type, p110δE1020K-GL and p110δD910A mice. b 24 h post-infection, cytokine levels in the lung homogenate showed a trend towards increased TNFα, IL-6, and IL-1 in p110δE1020K mice. c 24 h prophylactic treatment with nemiralisib (nem) led to reduced levels of TNFα, IL-6, IL-1β, IFNγ, and IL-10 in the lungs of wild-type mice compared to vehicle control (veh) treated animals at 24 h post-infection. d Volcano plot (statistical significance against fold change) of the gene expression changes in response to nemiralisib treatment showed reduced levels of pro-inflammatory cytokines as well as IL-10 at 24 h post infection compared to vehicle control treatment. All genes analyzed are shown (gray dots) with the cytokines of interest labeled and colored; green for those with a negative fold change, red for positive fold change. e Analysis of immune cell subsets in Il10ITIB reporter mice at 24 h post-infection showed that the proportion of IL-10 producing B cells is significantly increased in p110δE1020K-GL mice and reduced in p110δD190A mice compared to wild-type mice, with similar trends in T cells and myeloid cells not reaching significance. (Mean values shown; data-points represent individual animals. a Results from two independent studies combined, n = 14; b representative data from three independent studies n = 8; c Combined data from four independent experiments n = 25; d data from 1 study, n = 6; e representative data from two independent studies n = 6)

CD19+B220B cells produce high levels of IL-10

We hypothesized that increased susceptibility to S. pneumoniae infection can be mediated by a specific subpopulation of B cells. Therefore, we studied the B cell compartment in various tissues and found an atypical population of CD19+B220B cells that was rare in wild-type mice, but significantly increased in p110δE1020K-GL mice and was absent in p110δD910A mice (Fig. 8a). In the spleen and bone marrow, there was a 10-fold and 5-fold increase, respectively, in the numbers of CD19+B220 B cells in p110δE1020K-GL mice compared to wild-type mice (Fig. 8a). Analysis of B cell conditional p110δE1020K-B mice show a similar expansion of B220 B cells in the spleen (Fig. 8a), indicating that the development of this population in response to PI3Kδ hyperactivation is B-cell intrinsic. Infection with S. pneumoniae did not induce further expansion of CD19+B220 B cells in the lungs or other tissues examined 24 h post-infection (Fig. 8b).

Fig. 8
Fig. 8

p110δE1020K mice have an expanded population of IL-10 producing CD19+B220 B cells. a Naïve p110δE1020K mice show a significant increase in the proportion and number of B220B cells in bone marrow and spleen. While this population is detectable in wild-type mice, it is absent from p110δD910A mice. Representative pseudocolor plots show mean cell proportions in naïve mice b S. pneumoniae (S.p) infection does not lead to significant expansion or recruitment of B220 B cells at 24 h post-infection in bone marrow, blood, spleen or lung tissue. Representative pseudocolor plots show mean cell proportions in naïve mice. c At 24 h post S. pneumoniae infection, IL-10 production is increased in p110δE1020K B cells from both lung and spleen, and reduced in p110δD910A B cells compared to wild-type mice. Furthermore, B220B cells produce higher levels of IL-10 in response to S. pneumoniae infection compared to B220+ B cells in wild-type and p110δE1020K mice. Representative pseudocolor plots show mean cell proportions in S. pneumoniae infected mice (Mean cell counts are shown, data-points represent individual animals. a Combined data from two independent experiments, WT n = 10; E1020K n = 12; D910A n = 7, b representative data from two independent experiments, n = 6, c representative data from two independent experiments n = 6)

To ascertain if these cells were also present in the lungs and to distinguish resident from circulating cells, we labeled circulating leukocytes in wild-type and p110δE1020K-GL mice by intravenous injection of biotin-conjugated anti-CD45. We then stained the lung homogenate with fluorochrome-conjugated anti-mouse CD45 and streptavidin, and used flow cytometry to distinguish tissue resident leukocytes from those present in the lung capillaries. We found a significant increase in the proportion and number of tissue-resident, but not circulating, B cells in p110δE1020K-GL mice compared to wild-type mice. There was an increase in both CD19+B220+ and CD19+B220 cells among the tissue-resident B cells which demonstrates that both populations can take residence in the lung (Supplementary Fig. 6).

Given that B cells from p110δE1020K-GL mice drive susceptibility to S. pneumoniae in an antibody-independent manner, we sought to look at other properties of B cells. We found lower IL-10 protein levels and a significant 10-fold decrease in IL-10 mRNA expression at 24 h post-infection in whole lung homogenates from wild-type mice treated with nemiralisib (Fig. 7c, d), indicating that PI3Kδ signaling can regulate IL-10 levels in the lung post infection. IL-10 is an important immune-regulatory cytokine known to affect the course of S. pneumoniae infection26,27 and therefore increased IL-10 production could explain the B cell-dependent but antibody-independent effects seen in p110δE1020K-GL mice. To investigate this further, we crossed the p110δE1020K-GL and p110δD910A mice with a highly sensitive IL-10 reporter (Il10ITIB) mouse28.

At 24 h post S. pneumoniae infection, the frequencies of the IL-10-producing B cells were significantly increased in the lungs of p110δE1020K-GLIl10ITIB mice compared to wild-type Il10ITIB mice (Fig. 7e). In addition, IL-10-producing B cells were barely detected in lungs from p110δD910A mice (Fig. 7e). Frequencies of the IL-10-producing CD11b+ myeloid, T and NK cells in lungs were variable, but not consistently increased in p110δE1020K-GL mice (Fig. 7e). Further analysis of the CD19+ B cell subset isolated from lungs and spleens at 24 h post S. pneumoniae infection showed that the proportion of IL-10-producing cells was increased among the B220 B cell subset as compared to the B220+ B cell subset in p110δE1020K-GL mice (5% B220+ vs. 68% B220) and wild-type mice (2% B220+ vs. 55% B220) (Fig. 8c). Furthermore, the proportion and absolute number of IL-10-producing CD19+B220 cells and CD19+B220+ cells were increased in p110δE1020K-GL mice compared to wild-type mice, while such IL-10-producing cells were virtually absent in p110δD910A mice (Fig. 8c). This indicates that CD19+B220 cells are the predominant population of B cells that produce IL-10 in a PI3Kδ-dependent manner.

Previously, B cells that produce IL-10 have been termed B regulatory cells (Bregs)29. We sought to compare the phenotype of CD19+B220 IL-10-producing B cells with conventional IL-10-producing CD19+B220+ Bregs described previously (Fig. 9). Following in vitro stimulation for 5 h and analysis of cell surface markers and intracellular IL-10 we found that there were clear phenotypic differences between conventional B220+ Breg cells and the B220 B cells we describe here, including the differential expression of CD43 and IgM (Fig. 9). The lack of B220 expression and low IgM expression differentiate the CD19+B220 IL-10-producing B cells from conventional B1 cells30.

Fig. 9
Fig. 9

IL-10 producing B220B cell subset is a novel B cell subset, expanded in PI3KδE1020K mice. In order to compare surface marker expression from B220 and B220+ IL-10 producing B cells, splenocytes from Il10ITIB mice (WT and p110δE1020K) were stimulated with LPS/PdBu/Ionomycin/Brefeldin A for 5 h and then stained for cell surface markers as shown. a After gating on IL-10 producing B cells, CD43++B220 cells were compared to CD43B220+ cells. Histograms highlighting the differential surface marker expression as measured by median fluorescence intensity (MFI) between these populations are shown. b Comparison of surface marker MFI show that CD19+ B220 IL-10+ B cells express: CD43++CD5int/+ CD23CD21CD1dlo/int IgM+/-IgDlo/-PDL1CD138 as opposed to conventional Bregs expressing: CD19hi B220hi IL-10+ CD43 CD5VarCD23CD21++CD1dhi IgMhi IgDVar/lo PDL1+CD138int. (mean MFI ± SD is shown, representative data from two independent experiments, n = 5; data-points represent individual animals)

Nemiralisib reduces mortality in infected p110δE1020K mice

Given that increased PI3Kδ activity in mice leads to increased mortality after S. pneumoniae infection we explored if nemiralisib would provide protection. Treatment of p110δE1020K-GL mice with inhaled nemiralisib 24 h prior to infection led to a 20% increase in survival. While nemiralisib treatment did not affect the numbers of CD19+B220- B cells, the proportion of IL-10 producing CD19+B220- B cells in the lungs were reduced in comparison to non-treated mice (Fig. 10a). This was in keeping with our prior observations that nemiralisib treatment reduced IL-10 mRNA levels in the lung tissue of S. pneumoniae infected wild-type mice (Fig. 7d), suggesting a role for IL-10-producing CD19+B220- B cells in the PI3Kδ-dependent susceptibility to infection. Homozygous Il10ITIB mice are hypomorphic for IL-10 production. We exploited this property to assess if IL-10 depletion would result in improved survival in p110δE1020K or WT mice. Interestingly, systemic reduction of IL-10 in homozygous Il10ITIB mice did not improve disease outcome (Supplementary fig. 7B). Furthermore, local depletion of IL-10 in the lung through intranasal administration of anti-IL-10 did not improve disease outcome in p110δE1020K mice (Supplementary fig. 7D). These data suggest that depletion of IL-10 is not sufficient to revert they p110δE1020K susceptibility phenotype. It is possible that there may be a very specific role for IL-10 produced by the B220- B cells related to the location of these cells in the lung that we could not attenuate specifically using available tools and reagents. There may also be other cytokines or secreted proteins that are co-regulated with IL-10 in CD19+B220- B cells that are also required. Indeed, Fig. 7d shows a number of cytokines that were reduced by nemiralisib treatment of infected mice which have the potential to affect the local response to infection. Further characterization of this B cell subset may reveal such additional mechanisms that can be tested experimentally.

Fig. 10
Fig. 10

Nemiralisib treatment reduces the proportion of IL-10 producing B cells in mice and humans. a Prophylactic treatment with nemiralisib improved survival in p110δE1020K-GL mice and was associated with a significant reduction in the proportion of IL-10 producing B220 B cells in the lung at 24 h post-infection. (a Combined data from two independent studies, survival n = 24; lung tissue analysis n = 12, mean cell number shown, data-points represent individual animals) b Blood from patients with APDS (n = 6) and healthy controls (n = 6) was obtained and the B cell phenotype was determined by flow cytometry. Transitional B cells are identified as CD19+IgD+CD27CD24+CD38+. Representative contour plots with outliers show the mean proportions of cells. c Freshly isolated PBMCs were unstimulated or stimulated with plate bound anti-CD3 and anti-IL-2 for 72 h in the presence or absence of nemiralisib (n = 2–3). The proportion of IL-10 producing cells among the total B cell and transitional B cell populations was determined by flow cytometry. Representative contour plots with outliers show mean proportions of IL-10 producing cells. (Mean cell proportions are shown, data-points represent individual patients; Combined data from two independent experiments)

Nemiralisib reduces IL-10 production in APDS patient B cells

Cohort studies have shown that 75% of patients with APDS have elevated circulating transitional B cells (CD19+IgM++CD38++)13. Other studies have shown that such transitional B cells can produce high levels of IL-1031,32. We obtained blood samples from patients with APDS and healthy controls and confirmed that all of these APDS patients had elevated proportions of transitional B cells (Fig. 10b). We isolated PBMCs from two of these APDS patients and three healthy controls and stimulated them for 72 h with anti-CD3 and IL-231. After stimulation we found more IL-10-producing B cells and more IL-10-producing transitional B cells in PBMCs of APDS patients than in PBMCs of healthy controls, while treatment with nemiralisib effectively suppressed IL-10 production in these cells (Fig. 10c). Therefore, in keeping with reduction of CD19+B220-IL-10 producing B cells in the mice, nemiralisib can also reduce IL-10 producing human transitional B cells.

Discussion

Our results show that enhanced PI3Kδ signaling leads to the increased susceptibility to S. pneumoniae infection through a B cell-dependent, but antibody-independent mechanism. We found an expansion of an aberrant B cell population which could be equivalent to the elevated transitional B cell population found in APDS patients. These cell populations may have a detrimental effect during the early phase of S. pneumoniae infection.

In this study, we show that B cells can increase the susceptibility to S. pneumoniae infection during the first few hours after exposure. Mice were more susceptible to S. pneumoniae infection when the hyperactive p110δE1020K mutation was expressed in B cells. By contrast, mice expressing the p110δE1020K mutation only in T cells were protected. The basis for the protection remains unknown and is the focus of ongoing study. The p110δE1020K mice have increased numbers of TFH and Treg cells and the conventional T cells have a more activated phenotype. A recent study has documented a population of lung-resident innate Th17 cells that confers protection against re-challenge with S. pneumoniae33. Whether such a subset is affected by PI3Kδ activity and can also protect against immediate challenge is not known. However, we did not detect increased proportions of Th17 cells after infection. Regardless of the mechanism, the protection offered by T cells was overcome by the adverse effects of B cells in p110δE1020K-GL mice.

We describe a subset of B cells which lack the common B cell marker B220, and whose abundance is correlated with the susceptibility to S. pneumoniae infection. Moreover, we show that the development of this CD19+B220- B cell subset is highly dependent on the level of activity of PI3Kδ. Susceptibility to S. pneumoniae infection was not altered in p110δD910A mice as compared to wild-type mice. Kinase-dead p110δD910A mice lack natural and anti-capsular antibodies which may make them more susceptible, however, their lack of CD19+B220 B cells may counterbalance this antibody deficiency, such that overall the mutation has little net effect on S. pneumoniae susceptibility.

A large proportion of the CD19+B220 B cells produced IL-10. Although increased IL-10 could potentially reduce the production of inflammatory cytokines, we found similar or increased levels of TNFα, IL-6 and IL-1 in the lungs of p110δE1020K mice and no difference in CFU counts at 24 h post-infection.

One of the defining characteristics of APDS patients is an increased proportion of CD24+CD38+ B cells defined as transitional B cells9,10,11,13,14. Intriguingly, production of IL-10 is a characteristic of these B cells as well. High IL-10 levels in response to secondary S. pneumoniae infection following influenza A is associated with increased lethality when compared to a primary S. pneumoniae infection, and importantly, the outcome of a secondary S. pneumoniae infection is improved by IL-10 neutralization26,27. This indicates that, while IL-10 is required for normal immune regulation and resolution of inflammation34, excess IL-10 during the early stages of S. pneumoniae infection could have an acute detrimental effect. This fits with our observation that nemiralisib treatment improved the outcome of mice infected with S. pneumoniae and reduced IL-10 mRNA levels in the lung. However, we did not observe improved disease outcome in response to systemic or local IL-10 depletion, indicating that increased IL-10 production is not the sole mechanism driving increased pathology during S. pneumoniae infection. Further studies are required to investigate the time and location specific effects of B cell dependent IL-10 production, keeping in mind that B cells have the potential to produce a number of different cytokines (such as IL-6, TNF-α, and IL-35) which were affected by leniolisib treatment and which could affect S. pneumoniae susceptibility35.

We postulate that the transitional B cells which are expanded in APDS patients may not just be precursors to more mature B cells, but also include cells that are functionally equivalent to the CD19+B220 cells that we have identified in p110δE1020K mice and thus may also contribute to the increased susceptibility to S. pneumoniae infection and hence to the high incidence of bronchiectasis characteristic of this disease14. In this context, it is interesting that CD19+B220 B cells had previously been described as immature progenitors in the bone marrow36, rather than a functional PI3Kδ dependent subset found in peripheral tissues as we describe here. Although the CD19+B220- B cells we describe resemble B1 cells by some criteria, such as the expression of CD5 and CD43, their lower IgM expression, lack of B220 and distribution pattern suggest that they are related but distinct to conventional B1 and B10 cells29,30. A similar subset has previously been described as being dependent on CD19 and increased in the absence of PTEN expression and PTEN haploinsuffiency in humans can lead to an APDS-like syndrome37,38,39.

Our results do not question the important role that antibodies play in the protection against S. pneumoniae and other encapsulated bacteria. Indeed, in wild-type mice, immunization with Pneumovax offered complete protection. Rather, our results highlight a hitherto underappreciated subset of B cells that increase the pathological response shortly after infection. It remains to be determined whether this is a feature of the B cells being lung-resident (and hence among the first cells of the immune system to encounter the invading pathogens) and by which mechanisms B cells either condition lung epithelia to become more susceptible to invasion of S. pneumoniae, reduce the clearance of S. pneumoniae by phagocytes and/or increase the collateral adverse effects of the early innate immune response to this pathogen. This is in keeping with the increasing realization that B cells are important sources of different cytokines and can modulate immune responses independently of their capacity to present antigen and produce antibodies35.

Intriguingly, the inhaled inhibitor nemiralisib offered protection in not just in p110δE1020K but also in wild-type mice infected with S. pneumoniae, when administered prior to infection. This result suggests that preventive inhibition of PI3Kδ can be beneficial not only just in the context of APDS, but also in other conditions associated with PI3Kδ hyperactivation, such as COPD40.

The results presented herein are relevant to our understanding and the potential treatment of patients with APDS. Clinical trials are currently ongoing using both inhaled and systemic PI3Kδ inhibitors (NCT02593539, NCT02435173, and NCT02859727). Systemic use of a PI3Kδ inhibitor has shown promise in reduction of lymphoproliferation and immune cell aberrations in patients with APDS, however, no comments were made regarding recurrent infections or respiratory manifestations41. Systemic use of PI3Kδ inhibitors in malignancies have been associated with serious side effects, including colitis42. It would therefore be of importance to determine whether inhaled PI3Kδ inhibitors could alleviate the respiratory manifestations of APDS while reducing the risk of the adverse effects associated with systemic inhibition. Moreover, the results may also be relevant to other conditions, such as COPD16, where PI3Kδ may be activated by non-genetic mechanisms. Overall, our findings suggest that in subjects with increased PI3Kδ activity prophylactic administration of PI3Kδ inhibitors may help alleviate the course of S. pneumoniae infection.

Methods

Ethics

Animal experiments were performed according to the Animals (Scientific Procedures) Act 1986, licence PPL 70/7661 and approved by the Babraham Institute Animal Welfare and Ethics Review Body.

Informed consent was obtained from patients and healthy controls. This study conformed to the Declaration of Helsinki and according local ethical review document 12/WA/0148.

Mouse strains and gene targeting

The p110δE1020K mice were generated by Ozgene, Australia using homologous recombination in ES cells. A duplicate sequence corresponding to the last coding exon in Pik3cd and carrying the E1020K mutation was flanked by loxP sites and inserted 3’ to the wild-type sequence. Upon Cre-mediated recombination, the wild-type sequence is replaced by the mutant E1020K sequence. p110δD910A, Cd4cre, Mb1cre, Lyz2cre, Ighmtm1 (µMT) and Il10ITIB mice have been described previously18,25,28,43,44,45. Throughout the study, the p110δE1020K allele was heterozygous whereas the p110δD910A alleles were homozygous. Genotyping was performed by Transnetyx (Cordova, TN). Throughout this study we used male and female animals aged between 8–15 weeks in each experiment, wild-type controls were age and sex matched to genetically modified mice.

S. pneumoniae stock preparation

Streptococcus pneumoniae (TIGR4, serotype 4 (provided by Professor Jeremy Brown, University College, London)) was grown to mid-log phase (OD500 = 0.5–0.7) in Todd-Hewitt broth (Oxoid) supplemented with 0.5% yeast extract (Oxoid) at 37 °C, 5% CO2. The bacteria were collected by centrifugation, and resuspended in PBS/20% glycerol (Sigma-Aldrich) prior to freezing in liquid N2 and storage at −80 °C. Stocks were assessed for viable CFU counts and homogeneity by plating out serial dilutions of three frozen samples on blood agar plates (LB agar, supplemented with 5% defibrinated sheep blood (Oxoid)) after incubation for 24 h at 37 °C, 5% CO2. S. pneumoniae colonies were confirmed by the presence of an α-hemolytic zone and sensitivity to optochin (Sigma-Aldrich). Virulent stocks were maintained by performing an in vivo passage every 6–12 months.

S. pneumoniae infections

Frozen stocks were thawed and washed twice by centrifugation in sterile PBS before resuspending at 4 × 107 CFU/mL in PBS. The suspension was kept on ice at all times, and used for infection within 2 h of thawing (no loss of viability was observed under these conditions). Mice were lightly anaesthetized by inhalation of 3% isoflurane and maintained with 2% isoflurane. Mice (males and females aged 8–12 weeks) were infected intranasally with 50 µL S. pneumoniae suspension containing 2 × 106 CFU. Animals were observed to confirm inhalation of the dose and full recovery from anesthesia. The infection dose was routinely confirmed by plating out serial dilutions of the inoculum on blood agar plates, as described above.

Survival studies

Mice were infected with S. pneumoniae as described above. Pre-infection body weights were recorded and animals were weighed daily post infection. Animals were monitored three times a day for a period of 10 days post-infection. Disease progression was assessed by assigning clinical scores without knowledge of the individual genotypes: 0: Healthy; 1: mild clinical signs; 2: Up to 2 moderate clinical signs; 3: up to 3 moderate signs. Animals were culled when they showed >25% bodyweight loss or reach score 3. The most frequently observed clinical signs were piloerection, hunched posture, tremor, and labored breathing.

At the study end-point, animals were culled and terminal blood samples collected.

Bone marrow transfer

A single cell suspension of p110δE1020K-B and wild-type (C57Bl/6.SJL) donor bone marrow was prepared in sterile HBSS (Sigma-Aldrich) as described below (Isolation of immune cells from mouse tissues). Cells from two sex-matched donors were pooled. RAG2−/− recipient mice were supplied with 4 mg/mL Neomycin (Sigma-Aldrich) in drinking water before sub-lethal irradiation (one dose of 500Rads over 63 s), and received 3 × 106 donor cells by intravenous (tail vein) injection. Neomycin treatment was maintained for 4 weeks post-transfer, and after 8 weeks reconstitution was confirmed by analyzing tail bleeds.

Vaccination

For vaccine studies, mice were immunized with Pneumovax II (pneumococcal polysaccharide vaccine, serotypes: 1–5, 6B, 7F, 8, 9N, 9V, 10A, 11A, 12F, 14, 15B. 17F, 18C, 19F, 19A, 20, 22F, 23F, and 33F; Sanofi Pasteur MSD). One 0.5 mL dose containing 50 µg/mL of each serotype was diluted 1:12.5 in sterile PBS to 4 µg/mL. Mice were given one 100 µL (0.4 µg) dose by intraperitoneal injection, 14 days before infection with S. pneumoniae. Blood samples were taken from the tail vein prior to vaccination and 14 days after vaccination into serum collection tubes (BD microtainer, SST) samples were centrifuged at 15000xg for 5 min and the serum stored at −20 °C until analysis.

Nemiralisib and anti-IL-10 treatment

The PI3Kδ inhibitor nemiralisib (GSK2269557) was supplied by GSK, Respiratory Refractory Inflammation DPU, UK. The nemiralisib suspension was prepared on the day of use in 0.2% Tween80, and administered intranasally to mice twice daily at 0.2 mg/kg in a total volume of 50 µL, as described above (S. pneumoniae infections). Unless otherwise specified, the first dose was given 24 h before infection, and treatment was maintained for the duration of the study. Anti-IL-10 (JES5-2A5) and anti-HRPN rat IgG1 was purchased from BioXcell and administered intranasally once daily as described above at 200 µg/50 µL. Treatment was started 24 h before infection and maintained for the duration of the study

Isolation of immune cells from mouse tissues

Mice were euthanized by CO2 inhalation and cervical dislocation. Lungs were perfused with 10 mL cold PBS through the right ventricle, and collected into cold PBS. Lungs were homogenized using a GentleMACS tissue dissociator and mouse lung dissociation enzyme kit from Miltenyi according to the manufacter’s instructions. The homogenate was transferred to 15 mL tubes (BD Falcon) and washed by centrifugation (500xg) in 10 mL cold PBS. The pellet was resuspended in 3 mL 37.5% isotonic Percoll (Sigma) at room temperature and centrifuged at 650xg for 20 min with low acceleration and no brake. The supernatant including tissue debris was removed, and the cell pellet was washed and resuspended in cold PBS. Where CFU counts were required, the right lung was processed as described above and the left lung was processed for CFU counts as described below. Bone marrow cells were collected by flushing cold PBS through femurs and tibias collected, filtered through 40 µm cell strainers and washed by centrifugation in 5 mL PBS. Spleens, thymus and peripheral lymph nodes were homogenized in PBS by pushing the tissue through 40 µm cell strainers (BD) using a syringe plunge. The cell suspension was then transferred to a 15 mL Tube (BD falcon) and washed once in 5 mL cold PBS. For blood, bone marrow and spleen, red blood cells (RBC) were lysed using hypotonic ammonium chloride RBC lysis buffer (Sigma). Lysing was quenched with cold PBS and the cells were collected by centrifugation. Single cell suspensions were processed for flow cytometry as described below.

S. pneumoniae CFU counts

Lungs were homogenized in 1 ml PBS using a Bullet Blender using 3 × 3 mm steel beads: speed 8, 3 min (Next Advance, USA). Spleens were homogenized as described above in 2 mL PBS. Serial dilutions (10-fold) were performed for spleen and lung homogenates, and samples were plated out on blood agar as described above. Plates were incubated for 24 h at 37 °C and S. pneumoniae colonies were counted.

In vitro stimulation of mouse B cells

Splenocytes were isolated from naïve wild-type, p110δE1020K-GL and p110δD910A mice that had been crossed with the Il10ITIB reporter line as described above and the total cell count was obtained using a CASY counter. The cells were resuspended in complete RPMI (RPMI plus 5% (v/v) FCS, 50 μM β-mercaptoethanol and 100 μg/ml penicillin and streptomycin) and plated at 5 × 106 cells in 100 µL per well in a 96-well U bottom plate. The cells were stimulated with 10 ng/mL LPS, 50 ng/mL PdBu (Sigma, USA), 0.25 μg/mL Ionomycin (Sigma, USA) and 1 μL/mL of Brefeldin A (eBioscience) for 5 h at 37 °C. The cells were then processed for IL-10 detection and flow cytometry as described below.

Detection of IL-10 in Il10 ITIB reporter mice

Single cell suspensions from S. pneumoniae infected mice or in vitro stimulated cells were prepared as described above. The cells were incubated with 3.3 µM CCF4-AM, a Fluorescence Resonance Energy Transfer substrate for β-lactamase (LiveBLAzer kit, Invitrogen), and 3.6 mM probenecid (Sigma) in complete RPMI for 90 min at 29 °C, as previously described28, then placed on ice and collected by centrifugation. Cells were then processed for flow cytometry as described below.

Flow cytometry

Antibodies used for flow cytometry are listed in Table 1. Single cell suspensions were stained using an antibody master mix in PBS/0.5%BSA for 40 min at 4 °C. Cells were washed and fixed in 4% paraformaldehyde (Biolegend) for 10 min at room temperature before washing 2x in PBS/0.5%BSA. For intracellular detection of IL-10 in human samples, the cells were fixed and permeabilized with Cytofix/Cytoperm buffer (BD Biocsiences, USA) following surface staining. For FoxP3 staining, the eBioscence FoxP3/Transcription Factor staining Buffer Set was used according to the manufacturer’s instructions. Non-fluorescent counting beads (AccuCount Blank Particles 5.3 µm; Spherotech, USA) were added to quantify absolute cells numbers. Samples were kept at 4 °C until analysis (BD Fortessa5). Analysis was carried out using FlowJo (Treestar) analysis software.

Table 1 Antibodies

In vitro stimulation of human B cells

Freshly isolated PBMCs from patients and control individuals were stimulated with 0.5 μg/mL purified plate bound anti CD3 monoclonal antibody (clone-OKT3) (Invitrogen) and 20 ng/mL recombinant human IL2 in presence or absence of, the p110δ inhibitor, nemiralisib (10 nM) for 72 h. This stimulation led to the activation of CD40L (CD154) on CD4 T cells. The interaction between CD40L on CD4 T cells with CD40 on B cells resulted in the production of IL-10 in regulatory B cells. For a final stimulation 50 ng/mL PdBu (sigma, USA), 0.25 μg/mL ionomycin (Sigma, USA) and 1 μL/mL of Brefeldin A (eBioscience) were also added for the last 4 h. Cells were washed, surface stained, fixed and permeabilized with Cytofix/Cytoperm buffer (BD Biocsiences, USA) for the intracellular detection of IL-10 as described above.

Natural antibody ELISA

Anti-phosphorylcholine IgM and IgG levels were assessed in serum from naïve mice. Blood samples were collected by cardiac puncture and serum collected as described above. NUNC Maxisorp ELISA plates were coated overnight at 4 °C with 20 µg/mL phosphorylcholine-BSA (BioSearch) in sodium bicarbonate coating buffer (pH9) (Biolegend) (100 µL/well). Plates were washed 4× with PBS/0.2% Tween20 followed by blocking for 1 h at room temperature in PBS/1%BSA. Serum samples were diluted 1:10 in PBS/1% BSA and pooled WT serum was diluted from 1:5 to 1:400 to confirm the linear range of the assay. After removing the blocking solution, samples were added at 100 µL/well, and the plates were incubated overnight at 4 °C. The plates were then washed 4x in PBS/0.2%Tween20. Polyclonal HRP conjugated goat-anti-mouse IgM (abcam ab97023) or IgG (abcam ab97230) was diluted 1:5000 in PBS/1% BSA, added at 100 µL per well and the plates were incubated for 2 h at room temperature. The plates were washed 6× with PBS/0.2%Tween20, TMB substrate (Biolegend) was added at 100 µL per well and incubated for 5–10 min at room temperature. The reaction was stopped by adding 50 µL 2 N H2SO4 solution. Absorbance was read at 450 nm (Fluostar omega, BMG Labtech).

Tissue resident cell analysis (lung)

Mice received an intravenous (tail vein) injection of 3 µg anti-mouse CD45 conjugated to biotin (Biolegend, clone 30-F11) in 100 µL PBS. Four minutes after injection animals were killed and the lungs were collected into cold PBS without prior perfusion. Lungs were then finely minced using a scalpel blade and the pushed through a 100 µm cell strainer (BD) the homogenate was collected in a 15 mL tube (BD falcon) and washed in 10 mL cold PBS. The pellet was resuspended in 3 mL 37.5% isotonic Percoll (Sigma) at room temperature and processed as described above. The cells were stained for flow cytometry as described above, including streptavidin APC to identify anti-CD45-Biotin labeled circulating cells.

Cytokine analysis

Cytokine levels were measured in the supernatant from lung homogenates prepared for CFU analysis. The homogenates were centrifuged for 1 min at 10,000×g to remove tissue debris. Samples collected from wild-type mice treated with nemiralisib were analyzed using Meso Scale Discovery mouse Th1/Th2 9-plex ultrasensitive kits, according to manufacturer’s instructions. Samples collected from genetically modified mice were analyzed using the flow cytometry based Legendplex mouse inflammation 13-plex panel (Biolegend).

Gene arrays

Wild-type mice were treated with nemiralisib and infected with S. pneumoniae as described above. At 24 h post-infection, whole lungs were collected and snap frozen in liquid nitrogen. Samples were randomized and analyzed (Affymetrix Genechip Mouse genome 430 2.0 Array) by Expression Analysis, Quintiles Global Laboratories. Data analysis was performed by Computational Biology and Statistics, Target Sciences, GlaxoSmithKline, Stevenage. Data was normalized using the robust multiarray average method46 and quality checked in R/Bioconductor47 using the affy package48. A linear model was fitted to the RMA normalized data for each probset and differential expression analysis was conducted in the ArrayStudio software (Omicsoft Corporation). p-values were false discovery rate corrected by the method of Benjamini and Hochberg49. Probes with an absolute fold change >1.5 and an adjusted p-value < 0.05 were called significant.

Luminex antibody analysis

Measurement of IgG recognizing pneumococcal polysaccharide of 13 serotypes was performed as described previously50. The assay was modified in order to measure murine IgG as follows: 50 µL of 1:10 diluted mouse sera was added to each well containing the pneumococcal polysaccharides coupled to microspheres and the secondary antibody used was 50 µL of 10 µg/mL goat F(ab’)2 anti-mouse IgG (H + L)- R-phycoerythrin (Leinco Technologies, Inc). R-PE fluorescence levels were recorded for each serotype and median fluorescence intensities were compared for the different genotypes.

PIP3 quantification

CD4 and CD8 cells were isolated from mouse splenocytes using immunomagnetic negative selection by biotinylated cocktail of antibodies and Streptavidin dynabeads (Invitrogen). T cells were stimulated with anti-CD3 (1 mg/mL), (145-2c11, Biolegend) anti-CD28 (2 µg/mL), (35.51, Biolegend) antibodies followed by crosslinking with anti-Armenian hamster IgG (10 µg/mL, Jackson ImmunoResearch labs). Cells were stimulated for 1 min at 37 °C. B cells were similarly isolated from mouse splenocytes and stimulated for 1 min at 37 °C with anti-IgM 2 µg/mL (AffinPure F(ab’)2 Fragment goat anti-mouse IgM from Jackson Immuno-Research labs).

After stimulation of the cells, we terminated the reactions by addition of 750 µL kill solution (CHCl3:MeOH:1 M HCL (10:20:1) and immediately froze the samples on dry ice. PIP3 levels were quantified by mass spectrometry as previously described51.

Western blotting

Purified T and B cells were isolated from murine spleens and stimulated as described above (PIP3 measurement). For performing western blots the stimulation period was 5 min. Isolated T cells were stimulated with anti-CD3 1 µg/mL and anti-CD28 (2 µg/mL) with or without 10 Nm nemiralisb; or B cells with anti-IgM 4 µg/mL (AffinPure F(ab’)2 Fragment goat anti-mouse IgM from Jackson ImmunosResearch labs).

Stimulated T and B cells were lysed with ice-cold lysis buffer (50 mM HEPES, 150 mM NaCl, 10 mM NaF, 10 mM Indoacetamide, 1% IGEPAL and proteinase inhibitors (Complete Ultra tablets, Roche)) for 15–20 min. Lysates were centrifuged at 15,000×g for 10 min at 4 °C and supernatants were mixed with NuPage LDS sample buffer (life technologies). Samples were heated at 70 °C and resolved on 4–12% NuPage bis-tris gel (Invitrogen), transferred to PVDF membranes and probed with the following antibodies: pAKT (T308, Cell Signaling, 1 in 1000 dilution); total AKT1 (2H10, Cell signaling, 1 in 2000 dilution); p110δ (Sc7176, Santa Cruz Biotechnology, 1 in 200 dilution); pS6 (S235/236, Cell Signaling, 1 in 500 dilution); pFoxo1/3a (T24/T32, Cell Signaling, 1 in 1000 dilution); pErk (p44/42, Cell Signaling, 1 in 200 dilution); βActin (Sc47778, Santa Cruz Biotechnology, 1 in 2000 dilution).

Statistics and general methods

Sample selection

For animal studies where disease phenotype is the outcome we determined that a minimum of 10–12 mice per group is required to detect a 15% increase in survival with 80% power with a two-sided significance of 0.05. This result is based on preliminary experiments showing a median survival time of 50 h. In experiments where analysis of different cell subsets or gene expression analysis is the main end point, groups of 6–8 mice is sufficient. Regardless of the cohort size, experiments were repeated at least once in order to determine inter-experimental variability as well as inter individual variability. We have arrived at these numbers in consultation with statisticians at the Babraham Institute and at GSK.

Samples were excluded from analysis only when there was a known technical problem affecting the analysis. For in vivo studies, genetically modified mice and wild-type mice were age and sex matched. PI3Kδ inhibitor and vaccine treatment groups were also age and sex matched to vehicle control groups. Wild-type littermates were from p110δE1020K colonies and were co-housed with p110δE1020K mice. For other strains (e.g., p110δD910A), p110δE1020K littermates or C57bl/6 mice from the Babraham Institute breeding colony were used as controls. Gene array samples were randomized by GSK statisticians prior to shipping for mRNA extraction by Expression Analysis, Quintiles.

Blinding

In vivo studies were blinded as follows: animals were genotyped and allocated to age and sex matched treatment groups. Pneumovax immunization was performed by technicians not involved in study design, analysis or interpretation. The genotype and vaccine treatment information was hidden on the experimental study sheets and mouse cages. Mice were identified by implanted microchips, so the identity was not apparent to operator. Intranasal infections and monitoring were done without knowledge of genotypes. Genotype and vaccine treatment group information was only revealed at the study endpoint. Monitoring in PI3Kδ inhibitor treatment studies was not fully blinded due to practical constraints: the researcher performing the intranasal treatment also prepared the compound formulation. However, genotypes were blinded in these studies as described above, and intranasal infections were performed without knowledge of genotype or PI3Kδ inhibitor treatment group. For all studies, monitoring was shared between 1−2 researchers and 3 technicians not responsible for the design, analysis or interpretation of the study. In vitro studies were not blinded.

Data analysis

Data analysis was performed in Graphpad Prism. We performed a D’Agostino & Pearson normality test for sample sizes of n > 8, and a Shapiro–Wilk normality test for sample sizes of n < 8. For data sets following a Gaussian distribution, we used student’s t-test with Welch’s correction to account for samples with unequal variance where two groups were compared and one-way ANOVA with Tukey’s multiple comparisons test where three or more groups were compared. For data sets that did not follow a Gaussian distribution we performed the following non-parametric tests: where two groups were compared we used the Mann–Whitney test. Where three or more groups were compared, we used the Kruskal–Wallis test with Dunn’s multiple comparison test. All tests were two-sided without matching or pairing of values to be compared. Survival data was analyzed using the Gehan-Breslow-Wilcoxon test. p-values are indicated in individual figures, and in all cases we considered results statistically significant when p ≤ 0.05.

Data availability

Gene array data have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO) and are accessible through GEO series accession number GSE109941. All data is available from the authors on request.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. 1.

    O’Brien, K. L. et al. Burden of disease caused by Streptococcus pneumoniae in children younger than 5 years: global estimates. Lancet 374, 893–902 (2009).

  2. 2.

    Drijkoningen, J. J. & Rohde, G. G. Pneumococcal infection in adults: burden of disease. Clin. Microbiol. Infect. 20(Suppl 5), 45–51 (2014).

  3. 3.

    Levine, O. S. et al. Pneumococcal vaccination in developing countries. Lancet 367, 1880–1882 (2006).

  4. 4.

    Wilson, R. et al. Naturally acquired human immunity to pneumococcus is dependent on antibody to protein antigens. PLoS Pathog. 13, e1006137 (2017).

  5. 5.

    Bruton, O. C. Agammaglobulinemia. Pediatrics 9, 722–728 (1952).

  6. 6.

    Tsukada, S. et al. Deficient expression of a B cell cytoplasmic tyrosine kinase in human X-linked agammaglobulinemia. Cell 72, 279–290 (1993).

  7. 7.

    Vetrie, D. et al. The gene involved in X-linked agammaglobulinaemia is a member of the src family of protein-tyrosine kinases. Nature 361, 226–233 (1993).

  8. 8.

    Jou, S. T. et al. Identification of variations in the human phosphoinositide 3−kinase p110delta gene in children with primary B-cell immunodeficiency of unknown aetiology. Int. J. Immunogenet. 33, 361–369 (2006).

  9. 9.

    Angulo, I. et al. Phosphoinositide 3-kinase delta gene mutation predisposes to respiratory infection and airway damage. Science 342, 866–871 (2013).

  10. 10.

    Lucas, C. L. et al. Dominant-activating germline mutations in the gene encoding the PI(3)K catalytic subunit p110delta result in T cell senescence and human immunodeficiency. Nat. Immunol. 15, 88–97 (2014).

  11. 11.

    Lucas, C. L., Chandra, A., Nejentsev, S., Condliffe, A. M. & Okkenhaug, K. PI3Kdelta and primary immunodeficiencies. Nat. Rev. Immunol. 16, 702–714 (2016).

  12. 12.

    Okkenhaug, K. Signaling by the phosphoinositide 3-kinase family in immune cells. Annu. Rev. Immunol. 31, 675–704 (2013).

  13. 13.

    Coulter, T. I. et al. Clinical spectrum and features of activated phosphoinositide 3-kinase delta syndrome: a large patient cohort study. J. Allergy Clin. Immunol. 139, 597–606 (2017). e594.

  14. 14.

    Condliffe, A. & Chandra, A. Respiratory manifestations of the activated phosphoinositide 3-kinase delta syndrome. Front. Immunol.  9, 338 (2018).

  15. 15.

    Stark, A. K., Sriskantharajah, S., Hessel, E. M. & Okkenhaug, K. PI3K inhibitors in inflammation, autoimmunity and cancer. Curr. Opin. Pharmacol. 23, 82–91 (2015).

  16. 16.

    Cahn, A. et al. Safety, pharmacokinetics and dose-response characteristics of GSK2269557, an inhaled PI3Kdelta inhibitor under development for the treatment of COPD. Pulm. Pharmacol. Ther. 46, 69–77 (2017).

  17. 17.

    Down, K. et al. Optimization of novel indazoles as highly potent and selective inhibitors of phosphoinositide 3-kinase delta for the treatment of respiratory disease. J. Med. Chem. 58, 7381–7399 (2015).

  18. 18.

    Okkenhaug, K. et al. Impaired B and T cell antigen receptor signaling in p110delta PI 3-kinase mutant mice. Science 297, 1031–1034 (2002).

  19. 19.

    Briles, D. E. et al. Antiphosphocholine antibodies found in normal mouse serum are protective against intravenous infection with type 3 streptococcus pneumoniae. J. Exp. Med. 153, 694–705 (1981).

  20. 20.

    Mi, Q. S. et al. Highly reduced protection against Streptococcus pneumoniae after deletion of a single heavy chain gene in mouse. Proc. Natl Acad. Sci. USA 97, 6031–6036 (2000).

  21. 21.

    Durand, C. A. et al. Phosphoinositide 3-kinase p110 delta regulates natural antibody production, marginal zone and B-1 B cell function, and autoantibody responses. J. Immunol. 183, 5673–5684 (2009).

  22. 22.

    Rolf, J. et al. Phosphoinositide 3-kinase activity in T cells regulates the magnitude of the germinal center reaction. J. Immunol. 185, 4042–4052 (2010).

  23. 23.

    Clayton, E. et al. A crucial role for the p110delta subunit of phosphatidylinositol 3-kinase in B cell development and activation. J. Exp. Med. 196, 753–763 (2002).

  24. 24.

    Shapiro, E. D. et al. The protective efficacy of polyvalent pneumococcal polysaccharide vaccine. N. Engl. J. Med. 325, 1453–1460 (1991).

  25. 25.

    Kitamura, D., Roes, J., Kuhn, R. & Rajewsky, K. A. B cell-deficient mouse by targeted disruption of the membrane exon of the immunoglobulin mu chain gene. Nature 350, 423–426 (1991).

  26. 26.

    van der Sluijs, K. F. et al. IL-10 is an important mediator of the enhanced susceptibility to pneumococcal pneumonia after influenza infection. J. Immunol. 172, 7603–7609 (2004).

  27. 27.

    Barthelemy, A. et al. Influenza A virus-induced release of interleukin-10 inhibits the anti-microbial activities of invariant natural killer T cells during invasive pneumococcal superinfection. Mucosal Immunol. 10, 460–469 (2017).

  28. 28.

    Bouabe, H., Liu, Y., Moser, M., Bosl, M. R. & Heesemann, J. Novel highly sensitive IL-10-beta-lactamase reporter mouse reveals cells of the innate immune system as a substantial source of IL-10 in vivo. J. Immunol. 187, 3165–3176 (2011).

  29. 29.

    Tedder, T. F. B10 cells: a functionally defined regulatory B cell subset. J. Immunol. 194, 1395–1401 (2015).

  30. 30.

    Hardy, R. R. & Hayakawa, K. B cell development pathways. Annu. Rev. Immunol. 19, 595–621 (2001).

  31. 31.

    Vlkova, M. et al. Regulatory B cells in CVID patients fail to suppress multifunctional IFN-gamma+ TNF-alpha+ CD4+ T cells differentiation. Clin. Immunol. 160, 292–300 (2015).

  32. 32.

    Mauri, C. & Menon, M. Human regulatory B cells in health and disease: therapeutic potential. J. Clin. Invest. 127, 772–779 (2017).

  33. 33.

    Smith, N. M. et al. Regionally compartmentalized resident memory T cells mediate naturally acquired protection against pneumococcal pneumonia. Mucosal Immunol. 11, 220–235 (2018).

  34. 34.

    Penaloza, H. F. et al. Interleukin-10 plays a key role in the modulation of neutrophils recruitment and lung inflammation during infection by Streptococcus pneumoniae. Immunology 146, 100–112 (2015).

  35. 35.

    Shen, P. & Fillatreau, S. Antibody-independent functions of B cells: a focus on cytokines. Nat. Rev. Immunol. 15, 441–451 (2015).

  36. 36.

    Esplin, B. L., Welner, R. S., Zhang, Q., Borghesi, L. A. & Kincade, P. W. A differentiation pathway for B1 cells in adult bone marrow. Proc. Natl Acad. Sci. USA 106, 5773–5778 (2009).

  37. 37.

    Matsushita, T. et al. A novel splenic B1 regulatory cell subset suppresses allergic disease through phosphatidylinositol 3-kinase-Akt pathway activation. J. Allergy Clin. Immunol. 138, 1170–1182 (2016). e1179.

  38. 38.

    Browning, M. J., Chandra, A., Carbonaro, V., Okkenhaug, K. & Barwell, J. Cowden’s syndrome with immunodeficiency. J. Med. Genet. 52, 856–859 (2015).

  39. 39.

    Tsujita, Y. et al. Phosphatase and tensin homolog (PTEN) mutation can cause activated phosphatidylinositol 3-kinase delta syndrome-like immunodeficiency. J. Allergy Clin. Immunol. 138, 1672–1680 (2016). e1610.

  40. 40.

    To, Y. et al. Targeting phosphoinositide-3-kinase-delta with theophylline reverses corticosteroid insensitivity in chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 182, 897–904 (2010).

  41. 41.

    Rao, V. K. et al. Effective “activated PI3Kdelta syndrome”-targeted therapy with the PI3Kdelta inhibitor leniolisib. Blood 130, 2307–2316 (2017).

  42. 42.

    Coutre, S. E. et al. Management of adverse events associated with idelalisib treatment: expert panel opinion. Leuk. Lymphoma 0, 1–8 (2015).

  43. 43.

    Lee, P. P. et al. A critical role for Dnmt1 and DNA methylation in T cell development, function, and survival. Immunity 15, 763–774 (2001).

  44. 44.

    Hobeika, E. et al. Testing gene function early in the B cell lineage in mb1-cre mice. Proc. Natl Acad. Sci. USA 103, 13789–13794 (2006).

  45. 45.

    Clausen, B. E., Burkhardt, C., Reith, W., Renkawitz, R. & Forster, I. Conditional gene targeting in macrophages and granulocytes using LysMcre mice. Transgenic. Res. 8, 265–277 (1999).

  46. 46.

    Irizarry, R. A. et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4, 249–264 (2003).

  47. 47.

    Gentleman, R. C. et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 5, R80 (2004).

  48. 48.

    Gautier, L., Cope, L., Bolstad, B. M. & Irizarry, R. A. affy-analysis of Affymetrix GeneChip data at the probe level. Bioinformatics 20, 307–315 (2004).

  49. 49.

    Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B 57, 289–300 (1995).

  50. 50.

    Willcocks, L. C. et al. The effect of sirolimus therapy on vaccine responses in transplant recipients. Am. J. Transplant. 7, 2006–2011 (2007).

  51. 51.

    Clark, J. et al. Quantification of PtdInsP3 molecular species in cells and tissues by mass spectrometry. Nat. Methods 8, 267–272 (2011).

Download references

Acknowledgements

We thank Rahul Roychoudhuri, Bart Vanhaesebroeck and Martin Turner for their invaluable advice on the draft manuscript. We are grateful to Jeremy Brown for S. pneumoniae TIGR4 and helpful discussions. We thank Hicham Bouabe and Jürgen Heesemann (LMU Munich) for providing the Il10ITIB mice and for advice. We thank Ramkumar Venigalla for advice on B cell phenotyping and Alice Denton for advice on the detection of tissue resident cells in the lung. Rainer Döffinger provided advice on the use of Luminex for the quantification of antibodies against pneumococcal serotypes; Keith Burling helped quantify mouse serum immunoglobulins. Anne Sigonds-Pichon provided expert advice with regards to sample size calculation and statistical analysis. We gratefully acknowledge the support from the Babraham Institute Biological Services Unit, Biological Chemistry, Mass Spectroscopy and Flow Cytometry Facilities. Funding for the project was from the Medical Research Council MR/M012328/2 (A.S., A.M.C., S.N., K.O.), Wellcome Trust 103413/Z/13/Z and 206618/Z/17/Z (A.C.), 095691/Z/11/Z (K.O.), 095198/Z/10/Z (S.N.) Biotechnology and Biological Sciences Research Council BBS/E/B/000 -C0407, -C0409, -C0427 and -C0428 (K.O.). E.B.H. is currently employed by Cambridge University Hospitals NHS Foundation Trust but is seconded to spend 50% of his time on GSK clinical trial research. He receives no other benefits or compensation from GSK. E.B.H. was funded by the Wellcome Trust Translational Medicine and Therapeutics (TMAT) PhD program. S.N. is also supported by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Center. M.R.C. is supported by the National Institute of Health Research (NIHR) Cambridge Biomedical Research Center and the NIHR Blood and Transplant Research Unit and by a Medical Research Council New Investigator Research Grant (MR/N024907/1) and an Arthritis Research UK Cure Challenge Research Grant (21777).

Author information

Author notes

  1. These authors contributed equally: Anne-Katrien Stark, Anita Chandra.

Affiliations

  1. Laboratory of Lymphocyte Signalling and Development, Babraham Institute, Cambridge, CB21 3AT, UK

    • Anne-Katrien Stark
    • , Anita Chandra
    • , Krishnendu Chakraborty
    • , Rafeah Alam
    • , Valentina Carbonaro
    • , Edward Banham-Hall
    •  & Klaus Okkenhaug
  2. Division of Immunology, Department of Pathology, University of Cambridge, Cambridge, CB2 1QP, UK

    • Anne-Katrien Stark
    • , Anita Chandra
    •  & Klaus Okkenhaug
  3. Department of Medicine, University of Cambridge, Cambridge, CB2 OQQ, UK

    • Anita Chandra
    • , Krishnendu Chakraborty
    • , Edward Banham-Hall
    •  & Sergey Nejentsev
  4. Cambridge University Hospitals NHS Trust, Hills Road, Cambridge, CB2 0QQ, UK

    • Anita Chandra
    •  & Edward Banham-Hall
  5. Biological Chemistry Laboratory, Babraham Institute, Cambridge, CB21 3AT, UK

    • Jonathan Clark
  6. Refractory Respiratory Inflammation Discovery Performance Unit, Respiratory Therapy Area, GlaxoSmithKline, Stevenage, SG1 2NY, UK

    • Srividya Sriskantharajah
    • , J. Nicole Hamblin
    •  & Edith M. Hessel
  7. Computational Biology and Statistics, Target Sciences, GlaxoSmithKline, Stevenage, SG1 2NY, UK

    • Glyn Bradley
  8. Department of Immunology, Queen Elizabeth Hospital, Birmingham, B15 2TH, UK

    • Alex G. Richter
  9. Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, B15 2TT, UK

    • Alex G. Richter
  10. Molecular Immunity Unit, MRC Laboratory of Molecular Biology, University of Cambridge Department of Medicine, MRC Laboratory of Molecular Biology, Cambridge, CB2 OQQ, UK

    • Menna R. Clatworthy
  11. Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield, Sheffield, S10 2RX, UK

    • Alison M. Condliffe

Authors

  1. Search for Anne-Katrien Stark in:

  2. Search for Anita Chandra in:

  3. Search for Krishnendu Chakraborty in:

  4. Search for Rafeah Alam in:

  5. Search for Valentina Carbonaro in:

  6. Search for Jonathan Clark in:

  7. Search for Srividya Sriskantharajah in:

  8. Search for Glyn Bradley in:

  9. Search for Alex G. Richter in:

  10. Search for Edward Banham-Hall in:

  11. Search for Menna R. Clatworthy in:

  12. Search for Sergey Nejentsev in:

  13. Search for J. Nicole Hamblin in:

  14. Search for Edith M. Hessel in:

  15. Search for Alison M. Condliffe in:

  16. Search for Klaus Okkenhaug in:

Contributions

Performed experiments: A.S., A.C., K.C., R.A., V.C., J.C., E.B.H. Analyzed data: A.S., A.C., K.C., R.A., V.C., J.C., S.S., G.B., K.O. Bioinformatics: G.B. Provided essential materials: A.G.R., N.H., E.M.H. Designed and supervised study: S.S., M.R.C, S.N., N.H., E.M.H., A.M.C. Wrote paper, A.S., A.C., A.M.C., and K.O., with input from E.B.H., M.R.C., S.N., and E.M.H. All authors commented on and approved of the draft manuscript before submission.

Competing interests

A.C. received support for travel and attendance at conferences from Shire, SCL-Behring, Biotest and Grifols. S.S., G.B., E.B.H., J.N.H., and E.M.H. are employed by GSK. A.C., A.M.C., and S.N. received research funding from GSK. K.O. has received speaker’s or consultancy fees from Karus Pharmaceuticals and Gilead Sciences. The remaining authors declare no competing interests.

Corresponding author

Correspondence to Klaus Okkenhaug.

Electronic supplementary material

About this article

Publication history

Received

Accepted

Published

DOI

https://doi.org/10.1038/s41467-018-05674-8

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.